const KushGabani = {
pronouns: "He" | "Him",
age: 21,
code: ["Typescript", "Javascript", "Python", "Java", "Dart"],
askMeAbout: ["Full-stack Web Development", "Deep Learning", "Machine Learning", "UI/UX"],
technologies: {
design: ["Figma"],
machineLearning : ["TensorFlow", "Keras", "PyTorch (Beginner)"]
frontEnd: {
js: ["React.js", "Next.js"],
css: ["TailWindCSS"],
mobile: ["Flutter"]
},
backEnd: {
js: ["Node.js", "Nest.js", "Express"],
python: ["Flask"],
databases: ["MySQL", "PostgreSQL", "MongoDB"],
},
misc: ["git", "Postman/Thunder Client", "curl"]
},
currentFocus: "Full-stack development. Neural Networks and Deep Learning",
funFact: "There are two ways to write error-free programs; only the third one works"
};
- India
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18:53
(UTC +05:30)
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Cartoon-Character-Automation
Cartoon-Character-Automation PublicTouching and exploring various different neural network architectures and applying them on cartoon character automation, specifically on The Simpsons.
Jupyter Notebook
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Project-Ether
Project-Ether PublicThe aim of this project is to use hyperparameter tuned CNNs to predict potentially critical diseases with the help of images, audios and drawings. Collaborated with @DhritiGabani
HTML
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Biomedical-Image-Segmentation
Biomedical-Image-Segmentation PublicPixel-level classification using a U-Net architecture for Biomedical Image Segmentation of Mitochondria
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toy-micrograd
toy-micrograd PublicAn educational toy implementation of PyTorch's autograd API from scratch using python and GraphViz to get a good grasp over the underlying pytorch's autograd engine.
Jupyter Notebook
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